DeepSeek

AI researcher at DeepSeek working on natural language processing, code intelligence, and large language model reasoning.

Haoyu Lu is a Ph.D. student at Renmin University of China working on multimodal foundation models and video understanding. His homepage highlights papers and code including DeepSeek-VL, UniAdapter, and VDT.

CEO of Sand AI. His homepage describes prior work leading multimodal and vision research at BAAI and serving as a senior researcher at Microsoft Research Asia.

Tong Wu is a researcher at BIGAI in Beijing. His homepage says he works on diffusion language models, long context, and long sequence generation, and that he holds a master's from Tsinghua University and a bachelor's from Beijing Institute of Technology.

Jifeng Dai is a tenured associate professor in the Department of Electronic Engineering at Tsinghua University. His homepage says his current research focuses on agentic AI and continual learning, and lists prior roles at Shanghai AI Lab, SenseTime Research, and Microsoft Research Asia.

Staff research scientist at Alibaba's Qwen Team and initiator of OpenDevin, focused on foundation models, reasoning models, coding agents, and computer-use agents.

Yukun Zha is a research scientist at DeepSeek. His public profile lists research interests in machine learning, reinforcement learning, and efficient inference, alongside a PhD in computer science from Dartmouth College.

Hao Yang works on multimodal data infrastructure at Moonshot.ai. He previously worked at ByteDance ICVG and Microsoft Research Asia, and received BS and PhD degrees from Tsinghua University.

Yu Wu's public homepage says he is a technical staff member at DeepSeek AI who leads the LLM Alignment Team and works on writing, QA, AI search, reasoning, and safety.

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

Northwestern PhD student working on agentic RL, previously interned at DeepSeek, Microsoft, and Yutori.

Researcher at DeepSeek AI working on decision-making and post-training for large language models.

Research scientist working on large language models and retrieval-augmented generation; creator of the open-source project tiny-universe.

Research scientist at DeepSeek interested in large language models, reinforcement learning, robot learning, and machine learning.

Liyue Zhang is a research scientist at DeepSeek whose public profiles highlight multimodal models, reasoning, and AI agents.

Researcher at DeepSeek AI focusing on multimodal large language models and multimodal understanding.

Research scientist at DeepSeek AI. Previously completed a PhD at Carnegie Mellon University.

Wangding Zeng is a researcher at DeepSeek. His OpenReview profile also lists graduate and undergraduate study at Beijing University of Posts and Telecommunications.

Researcher at DeepSeek focused on large language models, reinforcement learning, multimodal large language models, and generative AI.

Researcher focused on AGI, multimodal models, and reasoning. Coauthor of Janus and JanusFlow.

PhD student at Tsinghua University focusing on multimodal large language models, reasoning, and reinforcement learning.

PhD student at Tsinghua University focusing on LLM reasoning, RLHF, and multimodal large language models; research intern at DeepSeek.

DeepSeek engineer and co-author of the DeepSeek-V3, DeepSeek-V2, and DeepSeek LLM technical reports.

R. X. Xu is a research scientist at DeepSeek AI. His homepage says he works on trustworthy and efficient large language models, open-ended reasoning, and AI for healthcare.

Daya Guo

Haoyu Lu

Yue Cao

Tong Wu

Jifeng Dai

Binyuan Hui

Yukun Zha

Hao Yang

Y. Wu

Runxin Xu

Zihan Wang

Huazuo Gao

Fuli Luo

Mingchuan Zhang

Liyue Zhang

Shanghao Lu

Yuxiang You

Wangding Zeng

Ruyi Chen

Deyao Zhu

Junzhe Pan

Xiaoqian Shen

Kai Dong

R. X. Xu